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            <h1>info.debatty.jinu.Case</h1>
            <p>2017-06-29 14:23:40</p>
            <p>spark.kmedoids.eval.synthetic.TestCase : -r Dropbox/eurecom-cluster/results/ -d gaussian_3_12_10000 -s 20000000 -s 40000000 -s 60000000 -s 80000000 -s 100000000</p>
            <p>Iterations: 10</p>
            <p>Tests:</p>
            <ul>
                                    <li>spark.kmedoids.eval.synthetic.ClaransTest</li>
                                    <li>spark.kmedoids.eval.synthetic.HeuristicTest</li>
                                    <li>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</li>
                            </ul>

            <h2>System</h2>
            <p>Hostname: spark-submit0-100156-prod</p>
            <p>Processors (cores): 32</p>
            <p>Memory (MB): 12743</p>

            <h2>Results</h2>
                            <canvas id="chart_0" width="640" height="480"></canvas>
            
            <canvas id="chart_time" width="640" height="480"></canvas>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#results-table">
                    Show/hide results table
                </a>
            </p>

            <table class="table table-condensed collapse in" id="results-table">
                <tr>
                    <th>Test</th>
                    <th>Parameter value</th>
                                            <td>r0</td>
                                        <th>time (ms)</th>
                    <th></th>
                </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E7</td>
                                                    <td>135.1657043248906</td>
                                                <td>19024</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E7</td>
                                                    <td>135.69132499180844</td>
                                                <td>18213</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E7</td>
                                                    <td>135.67466637719986</td>
                                                <td>17587</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E7</td>
                                                    <td>136.27268398831836</td>
                                                <td>16790</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E7</td>
                                                    <td>136.21498679414793</td>
                                                <td>17765</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E7</td>
                                                    <td>134.70230021105783</td>
                                                <td>16772</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E7</td>
                                                    <td>134.37056923608907</td>
                                                <td>17954</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E7</td>
                                                    <td>136.29833708937122</td>
                                                <td>17557</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E7</td>
                                                    <td>135.86760581526056</td>
                                                <td>16108</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E7</td>
                                                    <td>133.5297039828608</td>
                                                <td>17635</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E7</td>
                                                    <td>131.3791217795054</td>
                                                <td>17975</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E7</td>
                                                    <td>134.31015429913748</td>
                                                <td>12376</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E7</td>
                                                    <td>136.28977229628697</td>
                                                <td>12458</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E7</td>
                                                    <td>132.2581554022193</td>
                                                <td>12627</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E7</td>
                                                    <td>136.2762740385692</td>
                                                <td>12876</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E7</td>
                                                    <td>134.76145202120918</td>
                                                <td>11871</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E7</td>
                                                    <td>134.43404103358023</td>
                                                <td>12760</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E7</td>
                                                    <td>135.49456767794985</td>
                                                <td>13633</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E7</td>
                                                    <td>135.08888857396408</td>
                                                <td>13092</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E7</td>
                                                    <td>134.88797276916395</td>
                                                <td>12958</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>140.01481414841106</td>
                                                <td>26526</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>138.2760904937218</td>
                                                <td>25144</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>139.24808135761864</td>
                                                <td>25960</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>139.46201099146808</td>
                                                <td>24326</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>139.66192465418717</td>
                                                <td>26398</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>138.98094113629043</td>
                                                <td>25938</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>139.506111351585</td>
                                                <td>25260</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>138.79206561083134</td>
                                                <td>28094</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>137.24021009013194</td>
                                                <td>25605</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>140.53013063941614</td>
                                                <td>25174</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>2.0E7</td>
                                                    <td>133.45836689874386</td>
                                                <td>9536</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>2.0E7</td>
                                                    <td>131.90366347774116</td>
                                                <td>9130</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>2.0E7</td>
                                                    <td>133.6038934419043</td>
                                                <td>12036</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>2.0E7</td>
                                                    <td>134.06523920248705</td>
                                                <td>9041</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>2.0E7</td>
                                                    <td>133.760415054682</td>
                                                <td>8468</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>2.0E7</td>
                                                    <td>135.97932087928876</td>
                                                <td>9796</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>2.0E7</td>
                                                    <td>131.36519107193666</td>
                                                <td>9082</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>2.0E7</td>
                                                    <td>132.76631124470447</td>
                                                <td>9108</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>2.0E7</td>
                                                    <td>131.14668812657652</td>
                                                <td>8855</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>2.0E7</td>
                                                    <td>132.65629262278944</td>
                                                <td>8549</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>8.0E7</td>
                                                    <td>138.24072635333994</td>
                                                <td>23534</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>8.0E7</td>
                                                    <td>135.86316855954684</td>
                                                <td>21554</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>8.0E7</td>
                                                    <td>136.58741760029034</td>
                                                <td>20885</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>8.0E7</td>
                                                    <td>140.27949634096515</td>
                                                <td>22062</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>8.0E7</td>
                                                    <td>139.67475478739937</td>
                                                <td>22702</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>8.0E7</td>
                                                    <td>137.92226948649707</td>
                                                <td>20152</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>8.0E7</td>
                                                    <td>138.79766157239885</td>
                                                <td>21462</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>8.0E7</td>
                                                    <td>138.1431285788814</td>
                                                <td>21262</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>8.0E7</td>
                                                    <td>139.65055771951336</td>
                                                <td>21570</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>8.0E7</td>
                                                    <td>138.17853864228005</td>
                                                <td>21580</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E7</td>
                                                    <td>134.97882498633209</td>
                                                <td>13106</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E7</td>
                                                    <td>134.54890969307945</td>
                                                <td>12812</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E7</td>
                                                    <td>133.56024034060636</td>
                                                <td>12326</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E7</td>
                                                    <td>135.1788353888901</td>
                                                <td>12792</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E7</td>
                                                    <td>134.20032554653673</td>
                                                <td>13851</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E7</td>
                                                    <td>134.91094908982456</td>
                                                <td>12684</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E7</td>
                                                    <td>135.89718975421584</td>
                                                <td>12764</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E7</td>
                                                    <td>134.7577430940752</td>
                                                <td>12975</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E7</td>
                                                    <td>135.9696874596292</td>
                                                <td>12466</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E7</td>
                                                    <td>132.85632632252478</td>
                                                <td>12920</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>136.49446239951942</td>
                                                <td>26407</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>138.19455855761734</td>
                                                <td>24795</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>136.1347128448358</td>
                                                <td>26252</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>139.17500701082838</td>
                                                <td>25801</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>137.8947275504987</td>
                                                <td>24429</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>138.53242861951657</td>
                                                <td>24562</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>139.84772317038843</td>
                                                <td>25557</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>136.46453114952593</td>
                                                <td>26837</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>136.56648632548078</td>
                                                <td>24155</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>138.16499778496598</td>
                                                <td>26543</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E7</td>
                                                    <td>138.1214435591638</td>
                                                <td>18358</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E7</td>
                                                    <td>139.01736465860884</td>
                                                <td>16638</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E7</td>
                                                    <td>136.20552801014264</td>
                                                <td>16554</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E7</td>
                                                    <td>136.26219264587635</td>
                                                <td>16569</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E7</td>
                                                    <td>138.36721541046632</td>
                                                <td>16618</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E7</td>
                                                    <td>136.32262861329158</td>
                                                <td>20919</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E7</td>
                                                    <td>137.56648514042837</td>
                                                <td>17328</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E7</td>
                                                    <td>136.13027480706188</td>
                                                <td>17847</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E7</td>
                                                    <td>136.09053297540524</td>
                                                <td>17493</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E7</td>
                                                    <td>137.5116569423671</td>
                                                <td>17117</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E7</td>
                                                    <td>131.7199130117029</td>
                                                <td>14862</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E7</td>
                                                    <td>132.95882527397424</td>
                                                <td>8499</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E7</td>
                                                    <td>130.4566581248172</td>
                                                <td>9574</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E7</td>
                                                    <td>129.24644701041768</td>
                                                <td>8754</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E7</td>
                                                    <td>131.65443061090755</td>
                                                <td>8576</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E7</td>
                                                    <td>131.19092296127303</td>
                                                <td>8531</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E7</td>
                                                    <td>129.9941298393861</td>
                                                <td>8648</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E7</td>
                                                    <td>132.92205416940328</td>
                                                <td>8204</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E7</td>
                                                    <td>133.1463256357546</td>
                                                <td>8544</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E7</td>
                                                    <td>131.82252942218642</td>
                                                <td>9423</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E7</td>
                                                    <td>138.0225315489943</td>
                                                <td>23169</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E7</td>
                                                    <td>137.8276898113594</td>
                                                <td>19530</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E7</td>
                                                    <td>137.06334478515456</td>
                                                <td>21506</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E7</td>
                                                    <td>137.30025228501967</td>
                                                <td>21940</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E7</td>
                                                    <td>135.86763791250945</td>
                                                <td>20378</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E7</td>
                                                    <td>136.53024432051689</td>
                                                <td>21077</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E7</td>
                                                    <td>136.73277207079565</td>
                                                <td>21669</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E7</td>
                                                    <td>136.11664872013083</td>
                                                <td>20849</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E7</td>
                                                    <td>136.7359635340549</td>
                                                <td>22542</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E7</td>
                                                    <td>137.08018642434257</td>
                                                <td>20134</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E7</td>
                                                    <td>136.36539917051223</td>
                                                <td>14075</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E7</td>
                                                    <td>135.6460070837034</td>
                                                <td>12865</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E7</td>
                                                    <td>137.17650999550602</td>
                                                <td>13776</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E7</td>
                                                    <td>136.50811561380635</td>
                                                <td>13065</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E7</td>
                                                    <td>133.98457377599536</td>
                                                <td>12379</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E7</td>
                                                    <td>135.16619303799152</td>
                                                <td>13056</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E7</td>
                                                    <td>134.71171478246714</td>
                                                <td>13844</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E7</td>
                                                    <td>134.27193096875098</td>
                                                <td>13813</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E7</td>
                                                    <td>137.1216007290792</td>
                                                <td>12376</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E7</td>
                                                    <td>136.27242377469292</td>
                                                <td>12344</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E7</td>
                                                    <td>133.7539956240185</td>
                                                <td>17244</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E7</td>
                                                    <td>138.64831334680375</td>
                                                <td>17802</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E7</td>
                                                    <td>136.4038457570045</td>
                                                <td>16752</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E7</td>
                                                    <td>134.5551971804771</td>
                                                <td>16774</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E7</td>
                                                    <td>135.69791540526404</td>
                                                <td>16932</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E7</td>
                                                    <td>135.16046709243426</td>
                                                <td>16034</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E7</td>
                                                    <td>137.30499812660395</td>
                                                <td>16910</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E7</td>
                                                    <td>134.1991798269539</td>
                                                <td>17162</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E7</td>
                                                    <td>135.58905657068829</td>
                                                <td>15890</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E7</td>
                                                    <td>136.875728109229</td>
                                                <td>15938</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E7</td>
                                                    <td>133.67269336697612</td>
                                                <td>8936</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E7</td>
                                                    <td>130.55273481599718</td>
                                                <td>8627</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E7</td>
                                                    <td>131.59501477277163</td>
                                                <td>9383</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E7</td>
                                                    <td>134.77627980320605</td>
                                                <td>8498</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E7</td>
                                                    <td>132.61034069017825</td>
                                                <td>9186</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E7</td>
                                                    <td>129.19831228986092</td>
                                                <td>8625</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E7</td>
                                                    <td>131.4074909581252</td>
                                                <td>8707</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E7</td>
                                                    <td>130.3014736805768</td>
                                                <td>9230</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E7</td>
                                                    <td>134.12584629036343</td>
                                                <td>9084</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E7</td>
                                                    <td>134.75926404562222</td>
                                                <td>8805</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E7</td>
                                                    <td>138.0428340505122</td>
                                                <td>22590</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E7</td>
                                                    <td>136.31402408569673</td>
                                                <td>21595</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E7</td>
                                                    <td>135.98745831488472</td>
                                                <td>22729</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E7</td>
                                                    <td>137.48639625929306</td>
                                                <td>22963</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E7</td>
                                                    <td>138.45100062052185</td>
                                                <td>21870</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E7</td>
                                                    <td>135.98351967082127</td>
                                                <td>20562</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E7</td>
                                                    <td>136.42297540727427</td>
                                                <td>21310</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E7</td>
                                                    <td>135.7512803370299</td>
                                                <td>21492</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E7</td>
                                                    <td>136.79216098198185</td>
                                                <td>20937</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E7</td>
                                                    <td>137.7865231379884</td>
                                                <td>22483</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>137.179452243028</td>
                                                <td>26623</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>135.88184797438382</td>
                                                <td>24921</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>135.0051463250536</td>
                                                <td>24901</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>135.31194167436348</td>
                                                <td>24766</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>137.40070094174604</td>
                                                <td>25702</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>136.11607688394446</td>
                                                <td>25746</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>137.26611778659395</td>
                                                <td>25449</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>136.7318204150202</td>
                                                <td>25357</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>138.95199837301413</td>
                                                <td>24950</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>137.8359402694735</td>
                                                <td>26061</td>
                        <td></td>
                    </tr>
                            </table>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#confidence">
                    Show/hide confidence intervals
                </a>
            </p>
            <div class="collapse in" id="confidence">
                <h2>Confidence intervals</h2>
                <table class='table table-condensed'>
                    <tr>
                        <th>Test</th>
                        <th>Parameter value</th>
                        <th></th>
                                                    <td>r0</td>
                                                <th>time (ms)</th>
                    </tr>

                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>6.0E7</td>
                            <td>mean</td>
                                                            <td>135.37878828110047</td>
                                                        <td>17540.5</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>6.0E7</td>
                            <td>std dev</td>
                                                            <td>0.9253631353519577</td>
                                                        <td>822.7105944511852</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>6.0E7</td>
                            <td>low</td>
                                                            <td>134.71682337169577</td>
                                                        <td>16951.968294644106</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>6.0E7</td>
                            <td>high</td>
                                                            <td>136.04075319050517</td>
                                                        <td>18129.031705355894</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>4.0E7</td>
                            <td>mean</td>
                                                            <td>134.51803998915855</td>
                                                        <td>13262.6</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>4.0E7</td>
                            <td>std dev</td>
                                                            <td>1.5887155752466324</td>
                                                        <td>1720.5244807583788</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>4.0E7</td>
                            <td>low</td>
                                                            <td>133.3815413307827</td>
                                                        <td>12031.810930797883</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>4.0E7</td>
                            <td>high</td>
                                                            <td>135.6545386475344</td>
                                                        <td>14493.389069202118</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.0E8</td>
                            <td>mean</td>
                                                            <td>139.17123804736616</td>
                                                        <td>25842.5</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.0E8</td>
                            <td>std dev</td>
                                                            <td>0.9256661118552567</td>
                                                        <td>1027.305564193158</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.0E8</td>
                            <td>low</td>
                                                            <td>138.50905640162748</td>
                                                        <td>25107.609870112323</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.0E8</td>
                            <td>high</td>
                                                            <td>139.83341969310484</td>
                                                        <td>26577.390129887677</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>2.0E7</td>
                            <td>mean</td>
                                                            <td>133.0705382020854</td>
                                                        <td>9360.1</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>2.0E7</td>
                            <td>std dev</td>
                                                            <td>1.4374519793393694</td>
                                                        <td>1021.2142500202611</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>2.0E7</td>
                            <td>low</td>
                                                            <td>132.04224700166375</td>
                                                        <td>8629.567333772342</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>2.0E7</td>
                            <td>high</td>
                                                            <td>134.09882940250705</td>
                                                        <td>10090.632666227659</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>8.0E7</td>
                            <td>mean</td>
                                                            <td>138.33377196411124</td>
                                                        <td>21676.3</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>8.0E7</td>
                            <td>std dev</td>
                                                            <td>1.3713442465669745</td>
                                                        <td>934.2031720491359</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>8.0E7</td>
                            <td>low</td>
                                                            <td>137.3527713868664</td>
                                                        <td>21008.01130929494</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>8.0E7</td>
                            <td>high</td>
                                                            <td>139.31477254135606</td>
                                                        <td>22344.58869070506</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>4.0E7</td>
                            <td>mean</td>
                                                            <td>134.68590316757144</td>
                                                        <td>12869.6</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>4.0E7</td>
                            <td>std dev</td>
                                                            <td>0.9643034551453246</td>
                                                        <td>414.4624899258744</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>4.0E7</td>
                            <td>low</td>
                                                            <td>133.99608203148185</td>
                                                        <td>12573.111395565724</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>4.0E7</td>
                            <td>high</td>
                                                            <td>135.37572430366103</td>
                                                        <td>13166.088604434277</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.0E8</td>
                            <td>mean</td>
                                                            <td>137.74696354131774</td>
                                                        <td>25533.8</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.0E8</td>
                            <td>std dev</td>
                                                            <td>1.2768299897290207</td>
                                                        <td>982.0008825522173</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.0E8</td>
                            <td>low</td>
                                                            <td>136.8335743904146</td>
                                                        <td>24831.31888699697</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.0E8</td>
                            <td>high</td>
                                                            <td>138.66035269222087</td>
                                                        <td>26236.281113003028</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>6.0E7</td>
                            <td>mean</td>
                                                            <td>137.1595322762812</td>
                                                        <td>17544.1</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>6.0E7</td>
                            <td>std dev</td>
                                                            <td>1.0925401686034817</td>
                                                        <td>1332.735403429936</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>6.0E7</td>
                            <td>low</td>
                                                            <td>136.37797612162032</td>
                                                        <td>16590.71852532478</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>6.0E7</td>
                            <td>high</td>
                                                            <td>137.94108843094207</td>
                                                        <td>18497.481474675216</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>2.0E7</td>
                            <td>mean</td>
                                                            <td>131.5112236059823</td>
                                                        <td>9361.5</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>2.0E7</td>
                            <td>std dev</td>
                                                            <td>1.3151261165831605</td>
                                                        <td>1978.8138001225775</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>2.0E7</td>
                            <td>low</td>
                                                            <td>130.57043905626216</td>
                                                        <td>7945.941882452238</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>2.0E7</td>
                            <td>high</td>
                                                            <td>132.45200815570246</td>
                                                        <td>10777.058117547762</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>8.0E7</td>
                            <td>mean</td>
                                                            <td>136.92772714128782</td>
                                                        <td>21279.4</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>8.0E7</td>
                            <td>std dev</td>
                                                            <td>0.6834025323744173</td>
                                                        <td>1116.310808969537</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>8.0E7</td>
                            <td>low</td>
                                                            <td>136.43885042019593</td>
                                                        <td>20480.839353593932</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>8.0E7</td>
                            <td>high</td>
                                                            <td>137.4166038623797</td>
                                                        <td>22077.96064640607</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>4.0E7</td>
                            <td>mean</td>
                                                            <td>135.72244689325052</td>
                                                        <td>13159.3</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>4.0E7</td>
                            <td>std dev</td>
                                                            <td>1.1482406211107756</td>
                                                        <td>675.6297556107685</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>4.0E7</td>
                            <td>low</td>
                                                            <td>134.90104503522286</td>
                                                        <td>12675.983588444557</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>4.0E7</td>
                            <td>high</td>
                                                            <td>136.54384875127818</td>
                                                        <td>13642.616411555442</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>6.0E7</td>
                            <td>mean</td>
                                                            <td>135.81886970394774</td>
                                                        <td>16743.8</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>6.0E7</td>
                            <td>std dev</td>
                                                            <td>1.5150497687387976</td>
                                                        <td>622.8075857669754</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>6.0E7</td>
                            <td>low</td>
                                                            <td>134.73506838899118</td>
                                                        <td>16298.27029243067</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>6.0E7</td>
                            <td>high</td>
                                                            <td>136.9026710189043</td>
                                                        <td>17189.32970756933</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>2.0E7</td>
                            <td>mean</td>
                                                            <td>132.2999450713678</td>
                                                        <td>8908.099999999999</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>2.0E7</td>
                            <td>std dev</td>
                                                            <td>1.9848129120835156</td>
                                                        <td>301.20367785861373</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>2.0E7</td>
                            <td>low</td>
                                                            <td>130.8800954476491</td>
                                                        <td>8692.631868940072</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>2.0E7</td>
                            <td>high</td>
                                                            <td>133.7197946950865</td>
                                                        <td>9123.568131059925</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>8.0E7</td>
                            <td>mean</td>
                                                            <td>136.90181728660042</td>
                                                        <td>21853.1</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>8.0E7</td>
                            <td>std dev</td>
                                                            <td>0.9670228244244011</td>
                                                        <td>812.2195173993573</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>8.0E7</td>
                            <td>low</td>
                                                            <td>136.21005083091717</td>
                                                        <td>21272.0731590642</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>8.0E7</td>
                            <td>high</td>
                                                            <td>137.59358374228367</td>
                                                        <td>22434.126840935798</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.0E8</td>
                            <td>mean</td>
                                                            <td>136.76810428866213</td>
                                                        <td>25447.6</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.0E8</td>
                            <td>std dev</td>
                                                            <td>1.209564063531364</td>
                                                        <td>597.035305116503</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.0E8</td>
                            <td>low</td>
                                                            <td>135.90283428260102</td>
                                                        <td>25020.5066713766</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.0E8</td>
                            <td>high</td>
                                                            <td>137.63337429472324</td>
                                                        <td>25874.693328623398</td>
                        </tr>
                                    </table>
            </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#similarity">
                    Show/hide similarity
                </a>
            </p>

            <div class="collapse in" id="similarity">
                <h2>Test similarity</h2>
                <p><a href=\"https://en.wikipedia.org/wiki/Student's_t-test\">Student's
                        t-test</a>: values above 0.95 indicate both tests produce the
                    same average value.</p>

                <!-- For each parameter value -->
                                    <h3>Parameter value = 2.0E7</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.020999101252261655</td>
                                                                            <td>0.31078657065321036</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.020999101252261655</td>
                                                                            <td>1.0</td>
                                                                            <td>0.3344921823696433</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.31078657065321036</td>
                                                                            <td>0.3344921823696433</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 4.0E7</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.06940257133461497</td>
                                                                            <td>0.7791115709430788</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.06940257133461497</td>
                                                                            <td>1.0</td>
                                                                            <td>0.04268535861828474</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.7791115709430788</td>
                                                                            <td>0.04268535861828474</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 6.0E7</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.0010188855840784431</td>
                                                                            <td>0.44538479511349416</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.0010188855840784431</td>
                                                                            <td>1.0</td>
                                                                            <td>0.03706865553105524</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.44538479511349416</td>
                                                                            <td>0.03706865553105524</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 8.0E7</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.012190073237397054</td>
                                                                            <td>0.9456828809313382</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.012190073237397054</td>
                                                                            <td>1.0</td>
                                                                            <td>0.015706711890398795</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.9456828809313382</td>
                                                                            <td>0.015706711890398795</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 1.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>1.149797670237323E-4</td>
                                                                            <td>0.09544480782919802</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>1.149797670237323E-4</td>
                                                                            <td>1.0</td>
                                                                            <td>0.011224121915390857</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.09544480782919802</td>
                                                                            <td>0.011224121915390857</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#sources">
                    Show/hide sources
                </a>
            </p>
            <div class="collapse in" id="sources">
                <h2>Sources</h2>
                                    <h3>spark.kmedoids.eval.synthetic.ClaransTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.synthetic.HeuristicTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</h3>
                    <pre>
                    </pre>
                            </div>

            <h2>Classpath</h2>
            <ul>
                                    <li>/opt/spark/conf/</li>
                                        <li>/opt/spark/jars/commons-logging-1.1.3.jar</li>
                                        <li>/opt/spark/jars/calcite-avatica-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/py4j-0.10.4.jar</li>
                                        <li>/opt/spark/jars/jodd-core-3.5.2.jar</li>
                                        <li>/opt/spark/jars/avro-1.7.7.jar</li>
                                        <li>/opt/spark/jars/lz4-1.3.0.jar</li>
                                        <li>/opt/spark/jars/jackson-jaxrs-1.9.13.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-core-2.6.4.jar</li>
                                        <li>/opt/spark/jars/validation-api-1.1.0.Final.jar</li>
                                        <li>/opt/spark/jars/hadoop-auth-2.6.4.jar</li>
                                        <li>/opt/spark/jars/paranamer-2.3.jar</li>
                                        <li>/opt/spark/jars/antlr-runtime-3.4.jar</li>
                                        <li>/opt/spark/jars/slf4j-api-1.7.16.jar</li>
                                        <li>/opt/spark/jars/hive-jdbc-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/commons-net-2.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/pyrolite-4.13.jar</li>
                                        <li>/opt/spark/jars/jets3t-0.9.3.jar</li>
                                        <li>/opt/spark/jars/jackson-module-scala_2.11-2.6.5.jar</li>
                                        <li>/opt/spark/jars/apacheds-i18n-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/commons-pool-1.5.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/slf4j-log4j12-1.7.16.jar</li>
                                        <li>/opt/spark/jars/javassist-3.18.1-GA.jar</li>
                                        <li>/opt/spark/jars/hadoop-annotations-2.6.4.jar</li>
                                        <li>/opt/spark/jars/oro-2.0.8.jar</li>
                                        <li>/opt/spark/jars/hk2-utils-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/libfb303-0.9.2.jar</li>
                                        <li>/opt/spark/jars/javolution-5.5.1.jar</li>
                                        <li>/opt/spark/jars/opencsv-2.3.jar</li>
                                        <li>/opt/spark/jars/commons-cli-1.2.jar</li>
                                        <li>/opt/spark/jars/pmml-schema-1.2.15.jar</li>
                                        <li>/opt/spark/jars/spark-core_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/ST4-4.0.4.jar</li>
                                        <li>/opt/spark/jars/jackson-core-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/spark-catalyst_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/guice-3.0.jar</li>
                                        <li>/opt/spark/jars/metrics-core-3.1.2.jar</li>
                                        <li>/opt/spark/jars/netty-all-4.0.42.Final.jar</li>
                                        <li>/opt/spark/jars/api-util-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/janino-3.0.0.jar</li>
                                        <li>/opt/spark/jars/jtransforms-2.4.0.jar</li>
                                        <li>/opt/spark/jars/chill_2.11-0.8.0.jar</li>
                                        <li>/opt/spark/jars/commons-codec-1.10.jar</li>
                                        <li>/opt/spark/jars/minlog-1.3.0.jar</li>
                                        <li>/opt/spark/jars/parquet-column-1.8.1.jar</li>
                                        <li>/opt/spark/jars/commons-io-2.4.jar</li>
                                        <li>/opt/spark/jars/scala-library-2.11.8.jar</li>
                                        <li>/opt/spark/jars/datanucleus-api-jdo-3.2.6.jar</li>
                                        <li>/opt/spark/jars/json4s-core_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/antlr-2.7.7.jar</li>
                                        <li>/opt/spark/jars/ivy-2.4.0.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0.1.jar</li>
                                        <li>/opt/spark/jars/datanucleus-core-3.2.10.jar</li>
                                        <li>/opt/spark/jars/curator-recipes-2.6.0.jar</li>
                                        <li>/opt/spark/jars/bonecp-0.8.0.RELEASE.jar</li>
                                        <li>/opt/spark/jars/RoaringBitmap-0.5.11.jar</li>
                                        <li>/opt/spark/jars/stream-2.7.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-hdfs-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hive-beeline-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/scala-reflect-2.11.8.jar</li>
                                        <li>/opt/spark/jars/spark-mllib-local_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-2.22.2.jar</li>
                                        <li>/opt/spark/jars/calcite-core-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/spark-graphx_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-mllib_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-crypto-1.0.0.jar</li>
                                        <li>/opt/spark/jars/mesos-1.0.0-shaded-protobuf.jar</li>
                                        <li>/opt/spark/jars/metrics-json-3.1.2.jar</li>
                                        <li>/opt/spark/jars/libthrift-0.9.2.jar</li>
                                        <li>/opt/spark/jars/hive-metastore-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/jaxb-api-2.2.2.jar</li>
                                        <li>/opt/spark/jars/avro-mapred-1.7.7-hadoop2.jar</li>
                                        <li>/opt/spark/jars/core-1.1.2.jar</li>
                                        <li>/opt/spark/jars/super-csv-2.2.0.jar</li>
                                        <li>/opt/spark/jars/univocity-parsers-2.2.1.jar</li>
                                        <li>/opt/spark/jars/jackson-mapper-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-app-2.6.4.jar</li>
                                        <li>/opt/spark/jars/spark-launcher_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hk2-api-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/hive-cli-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/datanucleus-rdbms-3.2.9.jar</li>
                                        <li>/opt/spark/jars/pmml-model-1.2.15.jar</li>
                                        <li>/opt/spark/jars/joda-time-2.9.3.jar</li>
                                        <li>/opt/spark/jars/jackson-databind-2.6.5.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-core-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jackson-core-2.6.5.jar</li>
                                        <li>/opt/spark/jars/xbean-asm5-shaded-4.4.jar</li>
                                        <li>/opt/spark/jars/jul-to-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/javax.inject-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/spark-mesos_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/curator-framework-2.6.0.jar</li>
                                        <li>/opt/spark/jars/spark-repl_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jpam-1.1.jar</li>
                                        <li>/opt/spark/jars/api-asn1-api-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/antlr4-runtime-4.5.3.jar</li>
                                        <li>/opt/spark/jars/javax.inject-1.jar</li>
                                        <li>/opt/spark/jars/jdo-api-3.0.1.jar</li>
                                        <li>/opt/spark/jars/metrics-graphite-3.1.2.jar</li>
                                        <li>/opt/spark/jars/httpcore-4.4.4.jar</li>
                                        <li>/opt/spark/jars/netty-3.8.0.Final.jar</li>
                                        <li>/opt/spark/jars/spark-sketch_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/arpack_combined_all-0.1.jar</li>
                                        <li>/opt/spark/jars/snappy-java-1.1.2.6.jar</li>
                                        <li>/opt/spark/jars/apacheds-kerberos-codec-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/jersey-client-2.22.2.jar</li>
                                        <li>/opt/spark/jars/spark-yarn_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/osgi-resource-locator-1.0.1.jar</li>
                                        <li>/opt/spark/jars/curator-client-2.6.0.jar</li>
                                        <li>/opt/spark/jars/xmlenc-0.52.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jersey-media-jaxb-2.22.2.jar</li>
                                        <li>/opt/spark/jars/commons-lang-2.6.jar</li>
                                        <li>/opt/spark/jars/jta-1.1.jar</li>
                                        <li>/opt/spark/jars/parquet-jackson-1.8.1.jar</li>
                                        <li>/opt/spark/jars/javax.ws.rs-api-2.0.1.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0-2.jar</li>
                                        <li>/opt/spark/jars/mx4j-3.0.2.jar</li>
                                        <li>/opt/spark/jars/jersey-guava-2.22.2.jar</li>
                                        <li>/opt/spark/jars/spire-macros_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/spark-network-shuffle_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/log4j-1.2.17.jar</li>
                                        <li>/opt/spark/jars/leveldbjni-all-1.8.jar</li>
                                        <li>/opt/spark/jars/breeze-macros_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/scala-xml_2.11-1.0.2.jar</li>
                                        <li>/opt/spark/jars/spark-hive-thriftserver_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/parquet-encoding-1.8.1.jar</li>
                                        <li>/opt/spark/jars/java-xmlbuilder-1.0.jar</li>
                                        <li>/opt/spark/jars/jline-2.12.1.jar</li>
                                        <li>/opt/spark/jars/jersey-server-2.22.2.jar</li>
                                        <li>/opt/spark/jars/scala-parser-combinators_2.11-1.0.4.jar</li>
                                        <li>/opt/spark/jars/spark-hive_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/json4s-jackson_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/parquet-common-1.8.1.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-1.8.1.jar</li>
                                        <li>/opt/spark/jars/protobuf-java-2.5.0.jar</li>
                                        <li>/opt/spark/jars/derby-10.12.1.1.jar</li>
                                        <li>/opt/spark/jars/apache-log4j-extras-1.2.17.jar</li>
                                        <li>/opt/spark/jars/jackson-xc-1.9.13.jar</li>
                                        <li>/opt/spark/jars/breeze_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/commons-compress-1.4.1.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-bundle-1.6.0.jar</li>
                                        <li>/opt/spark/jars/commons-lang3-3.5.jar</li>
                                        <li>/opt/spark/jars/metrics-jvm-3.1.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/activation-1.1.1.jar</li>
                                        <li>/opt/spark/jars/JavaEWAH-0.3.2.jar</li>
                                        <li>/opt/spark/jars/gson-2.2.4.jar</li>
                                        <li>/opt/spark/jars/objenesis-2.1.jar</li>
                                        <li>/opt/spark/jars/shapeless_2.11-2.0.0.jar</li>
                                        <li>/opt/spark/jars/bcprov-jdk15on-1.51.jar</li>
                                        <li>/opt/spark/jars/jersey-common-2.22.2.jar</li>
                                        <li>/opt/spark/jars/javax.servlet-api-3.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-math3-3.4.1.jar</li>
                                        <li>/opt/spark/jars/mail-1.4.7.jar</li>
                                        <li>/opt/spark/jars/xercesImpl-2.9.1.jar</li>
                                        <li>/opt/spark/jars/kryo-shaded-3.0.3.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-api-2.6.4.jar</li>
                                        <li>/opt/spark/jars/guice-servlet-3.0.jar</li>
                                        <li>/opt/spark/jars/spark-network-common_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-configuration-1.6.jar</li>
                                        <li>/opt/spark/jars/eigenbase-properties-1.1.5.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jetty-util-6.1.26.jar</li>
                                        <li>/opt/spark/jars/scala-compiler-2.11.8.jar</li>
                                        <li>/opt/spark/jars/jackson-annotations-2.6.5.jar</li>
                                        <li>/opt/spark/jars/base64-2.3.8.jar</li>
                                        <li>/opt/spark/jars/spark-unsafe_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/xz-1.0.jar</li>
                                        <li>/opt/spark/jars/commons-compiler-3.0.0.jar</li>
                                        <li>/opt/spark/jars/calcite-linq4j-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-shuffle-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-collections-3.2.2.jar</li>
                                        <li>/opt/spark/jars/spark-sql_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jetty-6.1.26.jar</li>
                                        <li>/opt/spark/jars/jsr305-1.3.9.jar</li>
                                        <li>/opt/spark/jars/hk2-locator-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/spark-streaming_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jackson-module-paranamer-2.6.5.jar</li>
                                        <li>/opt/spark/jars/zookeeper-3.4.6.jar</li>
                                        <li>/opt/spark/jars/htrace-core-3.0.4.jar</li>
                                        <li>/opt/spark/jars/parquet-format-2.3.0-incubating.jar</li>
                                        <li>/opt/spark/jars/commons-httpclient-3.1.jar</li>
                                        <li>/opt/spark/jars/guava-14.0.1.jar</li>
                                        <li>/opt/spark/jars/spire_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/snappy-0.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-web-proxy-2.6.4.jar</li>
                                        <li>/opt/spark/jars/stringtemplate-3.2.1.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-1.7.0.jar</li>
                                        <li>/opt/spark/jars/avro-ipc-1.7.7.jar</li>
                                        <li>/opt/spark/jars/commons-dbcp-1.4.jar</li>
                                        <li>/opt/spark/jars/jcl-over-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/scalap-2.11.8.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-core-1.8.0.jar</li>
                                        <li>/opt/spark/jars/chill-java-0.8.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-jobclient-2.6.4.jar</li>
                                        <li>/opt/spark/jars/compress-lzf-1.0.3.jar</li>
                                        <li>/opt/spark/jars/aopalliance-1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/aopalliance-repackaged-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/json4s-ast_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/spark-tags_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hive-exec-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/javax.annotation-api-1.2.jar</li>
                                        <li>/opt/spark/jars/commons-digester-1.8.jar</li>
                                        <li>/opt/spark/jars/httpclient-4.5.2.jar</li>
                                        <li>/opt/hadoop/etc/hadoop/</li>
                                </ul>
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